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Senior F1 Data Analyst Jobs in Renton, WA (NOW HIRING)

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Senior Data Analyst (Multiple Positions)

Seattle, WA · On-site

$196K - $277K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Working with cross-functional teams to design and build self-serve data analysis solutions; Creating, maintaining, and delivering reports using Excel and developing, validating, and maintaining ...

Scout ET

Data Analyst with Power BI Report

Redmond, WA · On-site

Required - 4+ years of experience building visually rich presentation for senior executives in business managers. Excel pivoting, charts and slice-dice data. Intermediate data analysis experience and ...

Confiz LLC

Data Analyst- Seattle, WA

Seattle, WA · On-site

... when senior-level guidance is needed. This is an opportunity to combine data analysis, project/program management, privacy, risk, and cross-functional stakeholder management in a high-impact ...

New

Nordstrom

Data Analyst 3 - Supply Chain Planning

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analyst 3 is a senior individual contributor on the Supply Chain Operations Planning analytics team, anchored in core planning analytics with a significant and growing focus on applied AI.

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All JobsF1 Data Analyst JobsSenior F1 Data Analyst JobsSenior F1 Data Analyst Jobs in Renton, WA

Senior F1 Data Analyst information

See Renton, WA salary details

$61.9K

$111.6K

$152.4K

How much do senior f1 data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior f1 data analyst in Renton, WA is $111,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $122,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior F1 Data Analyst vs F1 Data Analyst?

AspectSenior F1 Data AnalystF1 Data Analyst
Required CredentialsBachelor's degree, experience in motorsport data analysis, advanced Excel, SQL, PythonBachelor's degree, basic data analysis skills, Excel, SQL
Work EnvironmentHigh-pressure motorsport teams, race weekends, data-driven decision makingPre-race analysis, data reporting, team support
Employer & Industry UsageF1 teams, motorsport organizationsF1 teams, motorsport organizations

The main difference between a Senior F1 Data Analyst and an F1 Data Analyst lies in experience level, responsibilities, and expertise. Senior analysts typically handle complex data modeling, lead analysis projects, and provide strategic insights, while F1 Data Analysts focus on data collection, basic analysis, and supporting team operations. Both roles are essential in the fast-paced world of Formula 1 racing, but the senior position requires more advanced skills and industry experience.

Is it hard to get senior F1 data analyst jobs?

Securing a senior F1 data analyst position can be competitive due to specialized skills required, such as advanced data analysis, programming, and knowledge of motorsport data. Candidates often need several years of experience, proficiency with tools like SQL and Python, and a strong understanding of F1 racing to stand out. Networking and relevant certifications can also improve chances of obtaining such roles.

What are popular job titles related to Senior F1 Data Analyst jobs in Renton, WA?

For Senior F1 Data Analyst jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Senior F1 Data Analyst jobs in Renton, WA look for?

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Cities near Renton, WA with the most Senior F1 Data Analyst job openings:

Senior F1 Data Analyst jobs near you

Senior Data Analyst, Media Data Science & Analytics (eCommerce)

Microsoft

Redmond, WA • On-site

$96K - $121K/yr

Full-time

Posted 12 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

79th of 245 rated software companies

Job description

Overview
We're building a Frontier Marketing organization where the Media Data Science & Analytics team leads the way in transforming how Microsoft measures, analyzes, and optimizes media and digital experiences. Our team blends advanced analytics, experimentation, and AI-powered insights to drive smarter decision-making and measurable business outcomes across paid media and owned digital properties.
We operate with agility, prioritize outcomes over activity, and embrace rapid learning loops to unlock deeper audience understanding, maximize impact, and accelerate innovation in media and discovery strategy. To support this transformation, we are seeking a Senior Data Analyst, Media Data Science & Analytics (eCommerce) to serve as the analytical engine behind Microsoft's eCommerce business.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. Our culture embraces a growth mindset, collaboration, and inclusion, where everyone can thrive.
Responsibilities
  • Dashboards & Self-Serve Analytics - Build and maintain dashboards, reports, and self-serve analytics that give eCommerce, web, and marketing partners timely, accurate visibility into commerce performance across Microsoft's owned digital storefronts - so they can focus on acting on insights rather than wrangling data.

  • Funnel Measurement - Analyze the web and eCommerce journey - from acquisition and on-site engagement through sign-up, checkout, conversion, and revenue - connecting customer behavior to the durable business outcomes our partners own, such as gross adds, conversion, and revenue.

  • Deep-Dive Analysis - Investigate revenue, product and offer performance, customer behavior, and operational efficiency to surface actionable insights for partners, proactively bringing trends, anomalies, and opportunities forward without waiting to be asked.

  • Trustworthy Data Foundation - Integrate data from multiple sources and partner closely with Data Engineering, Finance, Web data teams, and other partners to define metrics, validate data quality, and ensure analytical outputs are built on a reliable, well-modeled, analytics-ready single source of truth.

  • Metric & Reporting Standards - Help establish consistent Key Performance Indicator (KPI) and metric definitions, reporting standards, and documentation practices that scale as the analytics function and its self-serve tools grow - so partner teams work from the same metrics language.

  • Performance Driver Analysis - Identify and quantify drivers of performance change - including product and offer launches, merchandising and promotional changes, technical factors, seasonal patterns, and external events - so partners know what's real and what to act on.

  • Experimentation - Support experimentation - such as A/B tests and web experience changes - to evaluate the impact of eCommerce improvements and give partners confidence in what to scale.

  • Work Smarter with AI - Leverage AI-assisted and agentic tools such as Microsoft Copilot to accelerate analysis, automate recurring reporting workflows, and move from manual, reactive reporting toward proactive, scalable insight that reaches partners faster.

  • Translate, Communicate & Partner - Turn ambiguous business questions into structured analytical frameworks, deliver clear findings to both technical and non-technical audiences through recurring readouts and deep-dive investigations, and collaborate cross-functionally with eCommerce, web experience, engineering, and marketing partners to prioritize improvements grounded in data.
  • Other - Embody our Culture and Values

Qualifications
Required/ minimum qualifications
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR equivalent experience.

Additional or preferred qualifications
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR equivalent experience.
  • Experience querying and analyzing large datasets using SQL. Experience integrating data from multiple sources and validating data quality.
  • Experience communicating analytical insights to stakeholders to inform decisions.
  • Experience measuring web or eCommerce performance - such as acquisition, engagement, conversion, or revenue.
  • Experience building dashboards or reusable reporting assets (e.g., Power BI).
  • Experience enabling stakeholders through self-serve analytics and reporting. Experience using Python or similar tools for analysis or automation.
  • Experience using Adobe Analytics or similar tools for measuring digital customer journeys.
  • Familiarity with experimentation or attribution concepts.
  • Experience using AI-assisted analytics tools (e.g., Microsoft Copilot) to accelerate analysis and automate reporting.
  • Experience establishing KPI or metric definitions, reporting standards, or documentation for a growing analytics function.

Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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